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Rag Agent Ai Jobs (NOW HIRING)

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic Kernel/OpenAI Agents SDK or similar; CI/CD; AIOps/MLOps; LLM/RAG/agent evaluation; AI observability ...

Neshent Technologies

Applied AI Architect

Medinah, IL · On-site

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

Neshent Technologies

Applied AI Architect

Berwyn, IL · On-site

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

Neshent Technologies

Applied AI Architect

Techny, IL · On-site

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

Neshent Technologies

Applied AI Architect

Bellwood, IL · On-site

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

Neshent Technologies

The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems. Must-Have Technical Skills * Strong hands-on experience in AI/ML development ...

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Infographic showing various Rag Agent Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Applied AI Architect

Chicago, IL • On-site

Northern Base
See more jobs at Northern Baseexternal

$142K - $150K/yr

Full-time

Re-posted 12 days ago

Job description

Job Description
Must Have Technical/Functional Skills
Hands-on AI/ML depth and deployment; Databricks; Azure AI Foundry; multi-agent systems; Databricks, MLflow, Unity Catalog, Delta Lake, model serving; production Python AI/ML engineering; RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic Kernel/OpenAI Agents SDK or similar; CI/CD; AIOps/MLOps; LLM/RAG/agent evaluation; AI observability, tracing, monitoring, production debugging; reusable accelerators/templates/reference implementations.
Roles & Responsibilities
Define AI/ML architecture; work directly with teams to build and deploy AI models; improve applied AI delivery patterns; accelerate teams through production deployment, evals, AI Ops, agents, reusable skills/components, and templates.
Generic Managerial Skills, If any
Hands-on technical leadership; practice enablement; team acceleration; ability to push applied AI practices forward.